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Flow diagram of the assessment model for our VR stroke-rehabilitation system. First, K-means clustering based on evaluation scales was used to cluster participants’ data. Next, the skeleton data were collected when a participant was performing the VR task via Kinect, and the features were extracted as motor indicators. Finally, multi-classifiers (MLP, RBFNN, SVM) based on evaluation scales were adopted to develop an evidence-based assessment model.
